For many years, testing and robotic process automation (RPA) were treated as separate disciplines. Testing focused on validating applications and managing risk. RPA focused on automating repetitive business processes to improve efficiency. Each had its own tools, teams and ways of working.
That separation once made sense. Today, it is becoming increasingly difficult to justify.
As organisations rely more heavily on automation across their operations, testing and RPA are now interacting with the same systems, the same user interfaces and the same points of failure. The intent behind each discipline may differ, but the practical challenges they face are often identical.
This raises an important question for organisations planning their automation strategy. Should testing and RPA still be treated as entirely separate worlds?
How RPA Changed the Automation Landscape
RPA emerged as a pragmatic solution to a real problem. It allowed organisations to automate tasks without changing underlying systems, often by interacting directly with existing user interfaces.
Over time, those automated workflows became business critical. RPA now supports finance operations, customer services, supply chains and compliance processes. Many workflows run continuously and at scale, crossing multiple applications and environments.
Despite this, RPA has often evolved outside traditional quality assurance practices. Validation is frequently limited to whether a process runs, rather than whether it behaves correctly as interfaces change, performance fluctuates or edge cases arise.
This is where risk begins to accumulate quietly.
Where Testing and RPA Now Face the Same Risks
At a practical level, testing and RPA increasingly encounter the same challenges.
Both must handle:
- Changes to user interfaces
- Timing and synchronisation issues
- Desktop and legacy applications
- Visually complex screens
- End-to-end workflows spanning multiple systems
In many organisations, the same interface is tested by one team and automated by another, using different tools and assumptions. When something breaks, responsibility isn’t always clear. Is it an application issue, an automation issue, or a process issue?
Treating testing and RPA as separate silos often results in duplicated effort, inconsistent validation and slower resolution when problems occur.
The Cost of Maintaining a Hard Divide
Keeping testing and RPA strictly separate can appear organisationally tidy, but it carries real cost.
Running multiple automation platforms against the same interfaces increases licensing, infrastructure and support overheads. Teams duplicate scripts, solve the same problems twice and maintain parallel automation that quickly drifts out of sync.
There is also a significant people risk. In many organisations, automation knowledge is concentrated in a small number of specialists. When automation is heavily code-centric, critical understanding often leaves with the individual rather than staying within the team.
Losing a senior automation engineer can mean losing not just capacity, but confidence. Scripts become harder to maintain, onboarding slows and teams hesitate to change systems for fear of breaking something no one fully understands.
When testing and RPA rely on different tools and skill sets, this fragility increases. Expertise becomes siloed, resilience drops and quality depends on individuals rather than shared practices.
Why Visual Automation Changes the Dynamic
The overlap between testing and RPA is most visible in environments dominated by user interfaces.
Desktop applications, EPOS systems, engineering tools and legacy platforms depend on what appears on screen, not just underlying logic. Object-based automation struggles in these environments regardless of whether the goal is testing or process automation.
Visual automation provides a different foundation. By validating and interacting with systems based on what users actually see, it offers an approach that works equally well for software testing and RPA.
This does not require teams to merge or roles to change. It allows both disciplines to operate against the same visual layer, reducing duplication and making automation more resilient to change.
A More Practical Way Forward
In reality, most organisations aren’t deliberately designing a shared automation model. They’re responding to complexity as it grows.
A more practical approach is to recognise that testing and RPA can remain distinct in purpose while sharing a common automation foundation. A single platform that supports both use cases allows teams to:
- Validate behaviour visually across applications and workflows
- Apply testing discipline to automated business processes
- Reuse automation assets where appropriate
- Reduce duplicated maintenance across tools
- Support teams with mixed skills and responsibilities
- Improve visibility when quality issues sit between systems
This isn’t about redefining ownership. It’s about reducing friction and risk as automation expands.
Supporting Automation Strategies
As organisations look ahead to 2026, the challenge is less about choosing between testing and RPA, and more about choosing tools that acknowledge where those disciplines already intersect.
T-Plan has spent over 25 years supporting organisations operating in visually complex and business-critical environments. Its award-winning, image-based automation platform was designed to work at the user interface level first, which makes it suitable for both software test automation and RPA.
By supporting both within a single platform, T-Plan enables teams with different skills and responsibilities to work within the same system without being forced into separate tools or specialist coding models. This helps organisations reduce cost, limit fragility and maintain confidence as automation becomes more central to how systems operate.
For teams navigating increasing complexity, the most sustainable path forward is not maintaining a rigid divide, but choosing automation approaches that reflect how test and RPA systems actually behave.
